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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NDUFC2 is not prognostic in Liver Hepatocellular Carcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
339.7
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
1152.7
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
1007.8
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
800.3
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
726.0
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
720.9
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
681.0
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
655.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
648.4
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
646.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
623.9
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
615.4
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
614.2
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
596.5
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
593.8
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
591.4
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
588.6
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
582.0
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
576.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
566.0
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
549.5
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
549.2
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
548.7
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
543.0
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
542.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
532.0
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
531.5
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
522.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
522.0
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
520.7
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
519.6
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
518.9
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
517.8
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
514.7
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
510.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
504.4
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
504.0
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
497.1
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
497.1
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
493.7
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
492.9
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
490.6
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
489.0
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
486.2
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
480.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
480.4
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
480.1
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
476.9
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
471.5
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
468.8
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
468.3
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
466.8
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
462.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
462.1
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
461.8
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
458.8
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
457.3
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
456.2
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
452.2
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
452.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
444.7
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
443.9
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
443.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
440.3
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
439.8
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
438.4
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
430.9
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
430.2
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
428.6
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
428.0
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
427.9
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
425.8
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
425.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
424.7
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
423.2
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
422.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
422.0
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
420.0
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
418.9
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
416.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
415.2
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
414.5
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
413.4
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
413.4
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
413.0
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
412.2
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
412.1
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
408.1
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
407.7
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
407.6
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
407.2
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
407.0
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
406.6
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
404.1
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
403.4
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
401.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
400.6
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
398.5
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
395.6
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
394.0
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
393.3
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
391.1
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
389.7
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
387.9
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
386.3
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
385.5
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
385.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
385.0
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
380.9
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
379.9
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
379.2
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
379.2
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
379.0
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
378.4
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
378.2
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
378.2
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
376.0
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
375.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
374.9
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
374.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
372.2
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
370.1
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
369.5
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
368.6
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
367.8
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
367.2
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
366.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
366.5
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
365.7
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
363.3
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
361.8
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
358.6
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
358.5
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
357.9
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
356.6
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
354.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
352.0
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
348.1
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
348.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
347.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
347.9
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
347.6
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
347.5
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
347.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
345.0
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
344.8
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
344.7
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
343.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
343.4
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
343.2
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
340.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
340.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
339.2
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
339.0
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
338.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
338.1
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
338.0
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
337.2
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
337.0
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
336.9
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
336.9
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
336.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
335.7
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
334.3
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
334.2
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
334.0
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
333.9
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
333.6
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
333.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
331.6
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
330.9
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
330.5
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
328.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
328.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
328.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
325.6
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
324.8
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
324.5
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
324.2
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
322.7
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
322.5
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
322.1
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
322.0
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
321.2
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
321.2
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
320.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
319.5
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
319.5
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
319.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
318.5
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
318.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
318.2
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
318.1
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
316.9
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
316.0
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
315.6
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
315.6
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
313.2
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
313.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
312.1
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
309.4
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
309.3
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
308.5
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
308.1
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
307.3
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
306.1
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
303.4
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
302.9
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
302.8
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
302.4
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
301.3
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
300.3
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
299.2
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
299.2
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
298.2
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
297.7
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
297.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
296.2
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
296.1
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
295.4
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
294.7
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
294.4
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
294.3
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
294.0
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
293.2
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
292.2
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
291.7
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
290.8
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
289.6
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
288.6
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
285.4
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
285.4
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
284.9
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
284.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
284.3
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
283.5
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
282.9
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
282.9
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
281.7
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
281.0
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
280.4
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
278.3
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
277.3
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
276.6
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
276.0
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
275.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
275.2
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
272.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
271.1
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
271.0
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
270.9
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
270.8
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
269.9
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
269.3
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
268.4
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
267.9
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
266.0
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
266.0
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
264.5
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
264.4
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
264.3
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
262.1
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
261.4
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
261.3
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
260.9
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
259.3
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
259.0
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
257.9
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
257.1
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
256.8
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
255.6
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
254.8
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
254.5
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
253.6
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
253.6
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
253.3
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
252.7
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
252.5
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
250.1
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
250.0
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
250.0
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
249.5
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
248.1
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
247.9
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
247.3
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
243.5
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
242.9
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
242.5
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
240.4
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
239.7
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
237.9
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
237.3
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
236.9
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
236.7
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
236.6
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
236.5
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
232.7
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
229.0
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
225.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
224.9
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
224.5
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
224.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
223.7
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
219.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
219.1
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
219.1
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
218.9
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
218.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
218.4
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
217.6
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
217.1
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
217.0
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
215.9
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
213.6
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
212.1
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
211.7
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
210.8
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
210.7
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
210.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
208.5
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
207.2
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
206.1
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
201.1
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
200.8
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
200.0
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
199.9
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
198.4
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
198.2
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
197.3
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
195.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
190.9
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
190.0
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
189.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
188.6
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
188.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
188.3
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
187.4
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
185.0
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
182.0
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
181.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
177.2
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
177.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
175.4
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
171.8
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
171.2
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
166.6
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
165.8
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
165.8
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
163.9
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
157.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
149.1
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
145.4
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
143.5
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
139.9
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
135.6
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
134.9
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
133.3
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
130.7
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
126.1
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
125.2
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
122.6
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
102.1
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NDUFC2 is not prognostic in Liver Hepatocellular Carcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
47.2
Number of samples
231
Samples
Sample
Description
TPM
DO50839
47 years, female, NA, stage:3, alive, 330 days
191.5
DO48723
73 years, male, NA, stage:1, alive, 600 days
109.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
105.1
DO45149
70 years, female, NA, stage:2, alive, 1260 days
104.8
DO23508
79 years, female, NA, stage:2, alive, 390 days
103.0
DO45179
78 years, female, NA, stage:2, alive, 600 days
92.8
DO50783
62 years, male, NA, stage:3, alive, 480 days
92.2
DO50806
70 years, male, NA, stage:4, alive, 540 days
92.2
DO50818
65 years, male, NA, stage:2, alive, 510 days
88.0
DO48741
64 years, male, NA, stage:3, alive, 240 days
87.6
DO23519
65 years, male, NA, stage:3, alive, 630 days
85.0
DO50811
62 years, male, NA, stage:1, alive, 450 days
84.4
DO23516
69 years, male, NA, stage:3, dead, 20 days
79.8
DO45097
69 years, male, NA, stage:3, alive, 1620 days
78.1
DO50814
83 years, male, NA, stage:3, alive, 420 days
77.1
DO48697
64 years, female, NA, stage:2, dead, 810 days
77.0
DO50785
37 years, male, NA, stage:4, dead, 90 days
75.2
DO45143
69 years, male, NA, stage:3, alive, 1290 days
75.0
DO48715
58 years, female, NA, stage:2, dead, 690 days
74.1
DO23515
71 years, male, NA, stage:2, alive, 1230 days
73.8
DO23518
67 years, male, NA, stage:2, alive, 1320 days
73.3
DO45227
57 years, female, NA, stage:2, alive, 1020 days
73.1
DO45265
73 years, male, NA, stage:3, alive, 1020 days
72.3
DO48701
78 years, male, NA, stage:2, alive, 780 days
72.2
DO48757
68 years, female, NA, stage:3, alive, 480 days
72.2
DO45183
72 years, female, NA, stage:2, dead, 570 days
71.8
DO50832
73 years, male, NA, stage:3, alive, 90 days
71.5
DO45145
78 years, male, NA, stage:3, dead, 60 days
71.0
DO45096
69 years, male, NA, stage:2, dead, 1290 days
70.5
DO23552
80 years, female, NA, stage:1, alive, 810 days
70.5
DO48759
73 years, male, NA, stage:3, alive, 720 days
69.9
DO45119
74 years, male, NA, stage:3, dead, 510 days
69.9
DO50776
75 years, male, NA, stage:1, alive, 690 days
69.4
DO23513
76 years, male, NA, stage:3, alive, 1200 days
68.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
68.1
DO50798
77 years, male, NA, stage:3, dead, 30 days
67.3
DO23535
67 years, male, NA, stage:1, alive, 960 days
66.8
DO45217
69 years, female, NA, stage:3, dead, 270 days
66.8
DO45127
73 years, male, NA, stage:3, dead, 420 days
66.5
DO48733
72 years, male, NA, stage:2, alive, 600 days
66.5
DO45173
63 years, male, NA, stage:3, alive, 1170 days
66.4
DO45247
31 years, female, NA, stage:2, alive, 210 days
66.3
DO50825
70 years, male, NA, stage:2, alive, 390 days
64.7
DO48746
76 years, male, NA, stage:3, alive, 570 days
64.1
DO48751
68 years, male, NA, stage:2, dead, 480 days
63.5
DO45099
46 years, male, NA, stage:3, alive, 1590 days
63.4
DO45243
74 years, female, NA, stage:3, alive, 930 days
63.1
DO45129
61 years, male, NA, stage:3, alive, 1470 days
63.0
DO45121
61 years, male, NA, stage:3, alive, 1530 days
62.5
DO45239
42 years, male, NA, stage:2, alive, 870 days
62.3
DO48712
50 years, male, NA, stage:2, alive, 810 days
62.2
DO48747
62 years, male, NA, stage:3, alive, 540 days
62.1
DO45273
62 years, male, NA, stage:2, alive, 480 days
61.9
DO50850
74 years, male, NA, stage:3, alive, 720 days
61.3
DO50805
72 years, male, NA, stage:2, alive, 690 days
61.2
DO50804
81 years, male, NA, stage:2, alive, 720 days
61.1
DO50817
75 years, male, NA, stage:2, alive, 390 days
60.0
DO48674
80 years, male, NA, stage:2, alive, 1260 days
59.9
DO50802
49 years, male, NA, stage:2, alive, 930 days
59.7
DO50840
49 years, male, NA, stage:2, alive, 330 days
58.8
DO23543
63 years, male, NA, stage:2, alive, 1020 days
58.2
DO50799
66 years, female, NA, stage:2, alive, 540 days
58.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
58.0
DO45187
32 years, female, NA, stage:1, alive, 1260 days
57.6
DO45221
75 years, female, NA, stage:4, dead, 390 days
57.4
DO45131
53 years, male, NA, stage:4, dead, 360 days
57.2
DO23550
69 years, male, NA, stage:1, alive, 990 days
56.4
DO23539
77 years, male, NA, stage:1, alive, 1110 days
55.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
55.8
DO23525
71 years, male, NA, stage:4, alive, 1050 days
55.6
DO48716
71 years, male, NA, stage:2, alive, 720 days
54.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
54.4
DO48717
54 years, male, NA, stage:4, dead, 180 days
54.1
DO50808
68 years, male, NA, stage:2, alive, 570 days
53.6
DO45275
65 years, male, NA, stage:3, dead, 10 days
52.6
DO50813
56 years, male, NA, stage:2, alive, 420 days
52.4
DO45235
68 years, female, NA, stage:1, alive, 900 days
51.8
DO45135
77 years, male, NA, stage:1, alive, 1410 days
51.6
DO50789
73 years, female, NA, stage:2, alive, 570 days
51.5
DO45123
78 years, female, NA, stage:2, dead, 570 days
51.4
DO45281
83 years, male, NA, stage:4, alive, 750 days
50.8
DO48737
52 years, male, NA, stage:1, alive, 720 days
50.5
DO23537
79 years, male, NA, stage:2, dead, 900 days
50.3
DO48721
58 years, female, NA, stage:1, alive, 900 days
50.2
DO23545
67 years, male, NA, stage:2, dead, 570 days
49.7
DO23512
60 years, male, NA, stage:1, alive, 1260 days
49.7
DO48736
76 years, female, NA, stage:1, alive, 600 days
49.6
DO23540
73 years, male, NA, stage:1, alive, 750 days
49.5
DO227643
79 years, male, NA, stage:2, alive, 1260 days
49.4
DO48677
58 years, male, NA, stage:3, alive, 1140 days
49.3
DO45175
74 years, male, NA, stage:2, alive, 1140 days
49.2
DO45267
73 years, male, NA, stage:3, dead, 570 days
49.1
DO45269
59 years, male, NA, stage:3, alive, 750 days
49.0
DO45105
61 years, male, NA, stage:1, alive, 1680 days
48.5
DO45253
50 years, male, NA, stage:2, alive, 870 days
48.4
DO45257
46 years, male, NA, stage:3, alive, 810 days
48.2
DO50820
77 years, female, NA, stage:3, alive, 510 days
48.0
DO48695
77 years, male, NA, stage:2, alive, 720 days
47.9
DO48679
72 years, male, NA, stage:2, alive, 1200 days
47.3
DO23527
72 years, male, NA, stage:1, alive, 1050 days
46.8
DO48681
57 years, male, NA, stage:2, alive, 900 days
46.6
DO45171
56 years, male, NA, stage:3, alive, 600 days
46.0
DO23536
56 years, male, NA, stage:2, alive, 930 days
45.4
DO45137
38 years, male, NA, stage:1, alive, 1320 days
45.2
DO45219
78 years, male, NA, stage:2, alive, 1080 days
45.2
DO45289
78 years, female, NA, stage:3, alive, 360 days
45.2
DO45095
66 years, male, NA, stage:2, alive, 1620 days
44.7
DO23533
61 years, male, NA, stage:2, alive, 900 days
44.7
DO48706
72 years, male, NA, stage:2, alive, 870 days
44.6
DO45091
56 years, male, NA, stage:2, dead, 1320 days
44.2
DO50807
67 years, male, NA, stage:1, alive, 540 days
44.2
DO50787
63 years, male, NA, stage:3, alive, 480 days
44.0
DO45205
67 years, female, NA, stage:2, dead, 90 days
43.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
43.6
DO45109
63 years, male, NA, stage:2, alive, 1590 days
43.1
DO45207
68 years, male, NA, stage:1, alive, 1050 days
43.0
DO50829
78 years, male, NA, stage:3, alive, 570 days
43.0
DO23548
78 years, female, NA, stage:1, alive, 840 days
43.0
DO45103
47 years, male, NA, stage:3, alive, 450 days
42.9
DO45113
58 years, male, NA, stage:3, alive, 1560 days
42.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
42.4
DO45193
68 years, female, NA, stage:4, dead, 120 days
42.2
DO48725
66 years, male, NA, stage:1, alive, 780 days
42.2
DO45197
51 years, male, NA, stage:2, alive, 1170 days
41.9
DO23541
65 years, male, NA, stage:2, alive, 930 days
41.6
DO45201
49 years, male, NA, stage:1, alive, 900 days
41.6
DO48730
73 years, female, NA, stage:2, alive, 630 days
41.4
DO45133
64 years, male, NA, stage:3, dead, 660 days
41.4
DO45107
63 years, female, NA, stage:2, alive, 1710 days
41.4
DO48720
62 years, female, NA, stage:2, alive, 570 days
40.9
DO23511
83 years, female, NA, stage:3, dead, 180 days
40.8
DO45117
73 years, female, NA, stage:2, dead, 1110 days
40.7
DO45213
58 years, male, NA, stage:1, alive, 1200 days
40.6
DO45215
65 years, male, NA, stage:2, alive, 1170 days
40.5
DO48743
69 years, female, NA, stage:2, alive, 570 days
40.3
DO45165
75 years, male, NA, stage:2, alive, 690 days
39.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
39.8
DO45223
67 years, male, NA, stage:4, alive, 1020 days
39.1
DO48719
80 years, male, NA, stage:2, alive, 690 days
38.9
DO45307
54 years, female, NA, stage:4, dead, 240 days
38.8
DO23534
60 years, male, NA, stage:2, alive, 840 days
38.7
DO45125
58 years, male, NA, stage:3, alive, 1680 days
38.4
DO45169
74 years, male, NA, stage:3, alive, 1350 days
38.4
DO48700
78 years, female, NA, stage:2, alive, 810 days
38.4
DO45303
62 years, female, NA, stage:3, alive, 990 days
38.4
DO45155
69 years, male, NA, stage:2, alive, 2160 days
37.8
DO45153
77 years, female, NA, stage:2, alive, 1380 days
37.7
DO23509
60 years, male, NA, stage:3, dead, 780 days
37.6
DO45229
74 years, male, NA, stage:1, alive, 990 days
37.5
DO50774
68 years, female, NA, stage:2, alive, 720 days
37.2
DO45285
59 years, male, NA, stage:3, alive, 480 days
37.2
DO45209
70 years, male, NA, stage:4, alive, 1350 days
37.1
DO45161
74 years, male, NA, stage:2, dead, 540 days
37.0
DO45211
76 years, male, NA, stage:3, alive, 240 days
36.7
DO45297
61 years, female, NA, stage:4, dead, 1260 days
36.5
DO50855
47 years, male, NA, stage:2, alive, 570 days
36.5
DO50859
77 years, male, NA, stage:2, alive, 180 days
36.2
DO50809
56 years, male, NA, stage:3, dead, 720 days
36.1
DO48704
68 years, female, NA, stage:3, alive, 750 days
35.8
DO45249
57 years, male, NA, stage:1, alive, 630 days
35.7
DO23526
66 years, male, NA, stage:3, alive, 1050 days
35.7
DO48760
70 years, female, NA, stage:2, alive, 690 days
35.6
DO50800
74 years, male, NA, stage:2, alive, 510 days
35.5
DO50822
66 years, male, NA, stage:2, alive, 510 days
35.0
DO45203
71 years, female, NA, stage:2, alive, 1170 days
34.9
DO48728
74 years, female, NA, stage:2, alive, 150 days
34.5
DO23524
71 years, female, NA, stage:2, alive, 1050 days
34.4
DO50791
79 years, female, NA, stage:1, dead, 480 days
34.3
DO45177
81 years, female, NA, stage:3, alive, 1260 days
33.7
DO48761
55 years, male, NA, stage:2, alive, 870 days
33.5
DO48742
76 years, male, NA, stage:2, alive, 600 days
33.2
DO45181
84 years, female, NA, stage:2, alive, 1200 days
32.7
DO45225
69 years, male, NA, stage:1, alive, 1050 days
32.6
DO45093
71 years, male, NA, stage:2, dead, 720 days
31.8
DO45195
62 years, male, NA, stage:1, alive, 390 days
31.8
DO45141
73 years, male, NA, stage:2, alive, 1320 days
31.7
DO45101
63 years, male, NA, stage:2, alive, 1680 days
31.1
DO23538
67 years, male, NA, stage:2, alive, 450 days
31.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
30.9
DO45185
89 years, male, NA, stage:2, alive, 600 days
30.6
DO45115
81 years, male, NA, stage:2, alive, 840 days
30.5
DO45237
58 years, male, NA, stage:2, alive, 900 days
30.3
DO50819
72 years, female, NA, stage:2, alive, 510 days
29.9
DO48693
71 years, male, NA, stage:2, alive, 900 days
29.5
DO23517
62 years, male, NA, stage:2, alive, 1200 days
29.3
DO23514
64 years, male, NA, stage:2, alive, 1290 days
29.2
DO45157
62 years, male, NA, stage:2, alive, 1980 days
28.9
DO45305
66 years, male, NA, stage:4, alive, 300 days
28.8
DO45259
65 years, male, NA, stage:3, alive, 330 days
28.7
DO45189
85 years, female, NA, stage:2, alive, 1200 days
28.4
DO45163
76 years, male, NA, stage:2, alive, 960 days
27.9
DO48727
81 years, female, NA, stage:2, dead, 390 days
27.9
DO45139
63 years, male, NA, stage:3, alive, 1320 days
27.8
DO50778
60 years, male, NA, stage:4, alive, 630 days
27.4
DO50803
62 years, female, NA, stage:1, alive, 540 days
27.3
DO23529
72 years, male, NA, stage:4, alive, 930 days
27.1
DO23542
66 years, male, NA, stage:3, alive, 960 days
27.1
DO23544
67 years, male, NA, stage:2, alive, 960 days
26.9
DO45261
74 years, male, NA, stage:3, alive, 990 days
26.8
DO227801
77 years, female, NA, stage:1, alive, 660 days
26.7
DO23531
78 years, female, NA, stage:3, alive, 900 days
26.6
DO45167
67 years, male, NA, stage:2, dead, 1440 days
26.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
26.2
DO50844
75 years, male, NA, stage:4, alive, 300 days
26.2
DO45159
65 years, male, NA, stage:3, alive, 1470 days
26.1
DO23551
73 years, male, NA, stage:3, dead, 150 days
26.0
DO50816
63 years, male, NA, stage:2, alive, 390 days
26.0
DO23523
52 years, male, NA, stage:3, alive, 1080 days
25.7
DO23510
80 years, female, NA, stage:2, alive, 870 days
24.5
DO45277
64 years, male, NA, stage:3, alive, 600 days
24.3
DO45283
60 years, male, NA, stage:3, alive, 510 days
24.0
DO50815
62 years, male, NA, stage:3, alive, 150 days
23.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
23.4
DO45299
70 years, female, NA, stage:1, alive, 1440 days
23.2
DO45251
57 years, female, NA, stage:2, alive, 900 days
22.8
DO48732
73 years, male, NA, stage:3, alive, 630 days
21.8
DO45231
84 years, male, NA, stage:2, alive, 930 days
21.7
DO45245
75 years, female, NA, stage:2, dead, 240 days
21.4
DO50845
72 years, male, NA, stage:3, alive, 210 days
20.9
DO23530
53 years, male, NA, stage:4, dead, 180 days
20.5
DO50857
72 years, male, NA, stage:2, alive, 210 days
20.0
DO23532
71 years, female, NA, stage:1, alive, 960 days
20.0
DO45263
67 years, male, NA, stage:3, dead, 270 days
19.8
DO45241
49 years, male, NA, stage:1, alive, 1080 days
19.3
DO23547
74 years, male, NA, stage:1, alive, 1020 days
17.8
DO23521
63 years, male, NA, stage:3, alive, 1110 days
17.8
DO45111
74 years, male, NA, stage:2, alive, 1590 days
17.6
DO23549
74 years, male, NA, stage:3, alive, 990 days
17.4
DO45287
74 years, male, NA, stage:1, alive, 390 days
16.9
DO45279
67 years, male, NA, stage:3, alive, 1290 days
15.6
DO48682
72 years, female, NA, stage:3, dead, 120 days
13.4
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
473
Tumor
1.3
944
Normal
0.9
514
Normal
0.9
1041
Tumor
0.9
926
Normal
0.9
922
Normal
0.9
915
Tumor
0.8
484
Normal
0.8
958
Normal
0.8
1043
Tumor
0.8
482
Normal
0.8
964
Normal
0.8
1014
Normal
0.8
982
Normal
0.8
722
Normal
0.8
327
Tumor
0.8
494
Normal
0.7
938
Normal
0.7
714
Normal
0.7
356
Normal
0.7
954
Normal
0.7
818
Normal
0.7
1046
Normal
0.7
756
Normal
0.7
864
Normal
0.7
212
Normal
0.7
713
Tumor
0.7
716
Normal
0.7
866
Normal
0.7
912
Normal
0.7
1032
Normal
0.7
696
Normal
0.7
518
Normal
0.6
572
Normal
0.6
981
Tumor
0.6
448
Normal
0.6
412
Normal
0.6
546
Normal
0.6
916
Normal
0.6
528
Normal
0.6
415
Tumor
0.6
1022
Normal
0.6
516
Normal
0.6
698
Normal
0.6
918
Normal
0.6
984
Normal
0.6
466
Normal
0.6
328
Normal
0.6
861
Tumor
0.6
554
Normal
0.6
416
Normal
0.6
564
Normal
0.6
858
Normal
0.6
878
Normal
0.6
913
Tumor
0.6
914
Normal
0.6
488
Normal
0.6
267
Tumor
0.6
474
Normal
0.6
526
Normal
0.5
824
Normal
0.5
128
Normal
0.5
478
Normal
0.5
686
Normal
0.5
364
Normal
0.5
1028
Normal
0.5
278
Normal
0.5
816
Normal
0.5
1044
Normal
0.5
524
Normal
0.5
642
Normal
0.5
978
Normal
0.5
952
Normal
0.5
232
Normal
0.5
728
Normal
0.5
462
Normal
0.5
956
Normal
0.5
778
Normal
0.5
955
Tumor
0.5
451
Tumor
0.5
472
Normal
0.5
162
Normal
0.5
558
Normal
0.5
132
Normal
0.5
426
Normal
0.5
1016
Normal
0.4
723
Tumor
0.4
616
Normal
0.4
258
Normal
0.4
924
Normal
0.4
636
Normal
0.4
628
Normal
0.4
487
Tumor
0.4
388
Normal
0.4
464
Normal
0.4
568
Normal
0.4
314
Normal
0.4
968
Normal
0.4
284
Normal
0.4
228
Normal
0.4
868
Normal
0.4
648
Normal
0.4
446
Normal
0.4
852
Normal
0.4
742
Normal
0.4
477
Tumor
0.4
1042
Normal
0.4
746
Normal
0.4
571
Tumor
0.4
695
Tumor
0.4
1026
Normal
0.4
755
Tumor
0.3
358
Normal
0.3
715
Tumor
0.3
286
Normal
0.3
456
Normal
0.3
148
Normal
0.3
262
Normal
0.3
272
Normal
0.3
664
Normal
0.3
224
Normal
0.3
738
Normal
0.3
534
Normal
0.3
966
Normal
0.3
424
Normal
0.3
963
Tumor
0.3
312
Normal
0.3
786
Normal
0.3
976
Normal
0.3
396
Normal
0.3
557
Tumor
0.3
196
Normal
0.3
468
Normal
0.3
414
Normal
0.3
452
Normal
0.3
536
Normal
0.3
553
Tumor
0.3
138
Normal
0.3
483
Tumor
0.2
136
Normal
0.2
231
Tumor
0.2
618
Normal
0.2
882
Normal
0.2
867
Tumor
0.2
142
Normal
0.2
432
Normal
0.2
697
Tumor
0.2
114
Normal
0.2
862
Normal
0.2
214
Normal
0.2
422
Normal
0.2
874
Normal
0.2
355
Tumor
0.2
394
Normal
0.2
538
Normal
0.2
666
Normal
0.2
298
Normal
0.2
492
Normal
0.2
342
Normal
0.2
352
Normal
0.2
491
Tumor
0.2
376
Normal
0.2
498
Normal
0.2
111
Normal
0.2
873
Tumor
0.2
721
Tumor
0.2
911
Tumor
0.2
481
Tumor
0.2
647
Tumor
0.2
172
Normal
0.2
222
Normal
0.2
617
Tumor
0.1
127
Tumor
0.1
436
Normal
0.1
146
Normal
0.1
227
Tumor
0.1
393
Tumor
0.1
362
Normal
0.1
662
Normal
0.1
884
Normal
0.1
344
Normal
0.1
366
Normal
0.1
525
Tumor
0.1
268
Normal
0.1
341
Tumor
0.1
493
Tumor
0.1
857
Tumor
0.1
965
Tumor
0.1
126
Normal
0.1
386
Normal
0.1
354
Normal
0.1
937
Tumor
0.0
1015
Tumor
0.0
145
Tumor
0.0
392
Normal
0.0
823
Tumor
0.0
112
Tumor
0.0
261
Tumor
0.0
171
Tumor
0.0
574
Normal
0.0
497
Tumor
0.0
567
Tumor
0.0
223
Tumor
0.0
1031
Tumor
0.0
218
Normal
0.0
188
Normal
0.0
332
Normal
0.0
113
Tumor
0.0
573
Tumor
0.0
1021
Tumor
0.0
434
Normal
0.0
957
Tumor
0.0
943
Tumor
0.0
428
Normal
0.0
444
Normal
0.0
423
Tumor
-0.1
923
Tumor
-0.1
627
Tumor
-0.1
195
Tumor
-0.1
221
Tumor
-0.1
815
Tumor
-0.1
977
Tumor
-0.1
384
Normal
-0.1
368
Normal
-0.1
785
Tumor
-0.1
357
Tumor
-0.1
745
Tumor
-0.1
533
Tumor
-0.1
672
Normal
-0.1
615
Tumor
-0.1
135
Tumor
-0.2
1045
Tumor
-0.2
471
Tumor
-0.2
363
Tumor
-0.2
124
Normal
-0.2
527
Tumor
-0.2
641
Tumor
-0.2
877
Tumor
-0.2
217
Tumor
-0.2
523
Tumor
-0.2
447
Tumor
-0.2
192
Normal
-0.2
685
Tumor
-0.2
465
Tumor
-0.2
865
Tumor
-0.2
467
Tumor
-0.2
191
Tumor
-0.2
951
Tumor
-0.2
881
Tumor
-0.2
131
Tumor
-0.3
211
Tumor
-0.3
537
Tumor
-0.3
744
Normal
-0.3
411
Tumor
-0.3
851
Tumor
-0.3
975
Tumor
-0.3
917
Tumor
-0.3
285
Tumor
-0.3
1025
Tumor
-0.3
741
Tumor
-0.3
413
Tumor
-0.3
463
Tumor
-0.3
967
Tumor
-0.3
563
Tumor
-0.3
1027
Tumor
-0.3
983
Tumor
-0.4
361
Tumor
-0.4
817
Tumor
-0.4
517
Tumor
-0.4
387
Tumor
-0.4
213
Tumor
-0.4
663
Tumor
-0.4
445
Tumor
-0.4
367
Tumor
-0.4
435
Tumor
-0.4
743
Tumor
-0.4
953
Tumor
-0.4
545
Tumor
-0.4
814
Normal
-0.4
351
Tumor
-0.4
186
Normal
-0.4
635
Tumor
-0.5
271
Tumor
-0.5
724
Normal
-0.5
353
Tumor
-0.5
277
Tumor
-0.5
925
Tumor
-0.5
395
Tumor
-0.5
187
Tumor
-0.5
863
Tumor
-0.5
535
Tumor
-0.5
257
Tumor
-0.5
421
Tumor
-0.5
141
Tumor
-0.5
161
Tumor
-0.5
665
Tumor
-0.6
461
Tumor
-0.6
311
Tumor
-0.6
883
Tumor
-0.6
391
Tumor
-0.6
921
Tumor
-0.6
343
Tumor
-0.6
431
Tumor
-0.6
283
Tumor
-0.6
513
Tumor
-0.6
455
Tumor
-0.7
313
Tumor
-0.7
1013
Tumor
-0.7
433
Tumor
-0.7
375
Tumor
-0.7
185
Tumor
-0.7
661
Tumor
-0.7
147
Tumor
-0.7
365
Tumor
-0.7
727
Tumor
-0.8
427
Tumor
-0.8
737
Tumor
-0.8
123
Tumor
-0.8
515
Tumor
-0.8
331
Tumor
-0.8
383
Tumor
-0.9
443
Tumor
-0.9
385
Tumor
-0.9
813
Tumor
-0.9
425
Tumor
-0.9
671
Tumor
-1.0
297
Tumor
-1.0
777
Tumor
-1.0
137
Tumor
-1.0
125
Tumor
-1.2
Show allShow less
LIVER CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
